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Competing in the AI Era

Executive Course Bootcamp

This immersive bootcamp equips leaders to compete and thrive in the age of AI by understanding its strategic, technological, and organizational implications. Participants will explore AI-driven business models, transformation strategies, and ethical considerations while gaining hands-on experience in designing AI-first organizations, enabling them to lead innovation and build sustainable competitive advantage.

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Executive Education
Inspired Course
Duration

24 hours

Session Days

Weekdays
Weekends

Course Delivery

Classroom
Live Remote

Target Audience

Leaders, C-Level Executives, Directors, Heads

Level

Strategic: Advanced
Technical: Intermediate

Cost

USD 299

* For corporate group training rates contact helpline

Bootcamp Features

  • Designed specifically for strategic leaders and operational heads
  • Executive-level strategic learning with practical applications
  • Delivered by experienced & certified instructors
  • Focus on leadership and AI driven decision-making
  • Framework-based approach to strategy design
  • Exposure to modern AI tools and platforms
  • Project-based Learning for real-world strategy development
  • Focus on practical hands-on with real business scenarios
  • Case studies from leading organizations
  • Integration of AI and Generative AI in company strategy
  • Interactive workshops and group activities
  • Practical transformation journey exercises
  • Capstone strategy development project
  • Very high learner's satisfaction
  • Certificate of completion
Artificial intelligence is reshaping industries, redefining competition, and transforming how organizations create value and result in impressive growth. Leaders who understand AI’s strategic, operational, and ethical implications can unlock new growth opportunities and sustain competitive advantage. The understanding and adoption of AI is critical for navigating disruption, building AI-driven organizations, and ensuring responsible innovation in an increasingly data-driven global economy.

Why to Learn How to Compete in the AI Era?

Build a strong AI-driven leadership mindset

Drive digital transformation effectively

Understand AI’s role in leadership decisions

Identify new business opportunities AI

Improve decision-making with AI & data insights

Learn to build AI-first business strategies

Align AI & data initiatives with business strategy

Gain competitive advantage through AI

Lead AI-driven innovation initiatives

Build leadership skills for AI adoption

Future-proof your leadership skills

Enhance organizational performance

What Skills Will You Learn?

  • AI strategy formulation
  • Leadership in AI-driven environments
  • Industry impact analysis using AI
  • AI-first business model design
  • AI infrastructure understanding
  • Building AI-driven culture
  • AI-driven decision-making
  • AI governance frameworks
  • AI and ML strategic understanding
  • Generative AI application in business
  • Digital transformation planning
  • Integration of AI into strategy and operations
  • AI product and service innovation
  • Change management in AI adoption
  • Competitive strategy in AI markets
  • Business case development for AI initiatives
  • Strategic planning with AI
  • Risk and ethical AI management
  • KPI and performance tracking
  • Stakeholder communication using data

Who is this Course For?

  • Senior leaders
  • Business heads
  • Digital transformation leaders
  • Strategy consultants
  • IT Leaders - CIOs/CTOs
  • Data leaders and analytics managers
  • Startup founders and entrepreneurs
  • Professionals transitioning into leadership roles

Curriculum

Topics:
▸ Evolution of AI and Generative AI
▸ AI’s impact on industries and markets
▸ Understanding AI capabilities and limitations
▸ Competitive advantage in the AI era
Activity:
▸ Analyze AI disruption in a selected industry
▸ Identify opportunities for AI adoption

Topics:
▸ Concept of the AI Factory
▸ Data pipelines, algorithms, and infrastructure
▸ Continuous learning systems
▸ Experimentation platforms
Activity:
▸ Design an AI Factory for a business
▸ Map data flow and value chain

Topics:
▸ Role of leadership in AI transformation
▸ Decision-making in AI-driven organizations
▸ Building AI-first culture
▸ Managing cross-functional teams
Activity:
▸ Leadership scenario simulation
▸ Define AI leadership strategy

Topics:
▸ AI strategy development
▸ Network effects and platform ecosystems
▸ Competitive positioning using AI
▸ Scaling AI initiatives
Activity:
▸ Develop AI strategy for a business
▸ Identify competitive advantages

Topics:
▸ Data as a strategic asset
▸ Role of algorithms in business
▸ AI infrastructure components
▸ Build vs buy decisions
Activity:
▸ Map AI system architecture
▸ Evaluate infrastructure options

Topics:
▸ AI risks and challenges
▸ Ethical frameworks and bias
▸ Governance and compliance
▸ Responsible AI practices
Activity:
▸ Analyze ethical AI case studies
▸ Develop risk mitigation plan

Topics:
▸ AI-driven organizational redesign
▸ New roles and workflows
▸ Change management
▸ Building AI capabilities and talent
Activity:
▸ Design AI operating model
▸ Create transformation roadmap

Project Activity:
▸ Build End-to-end AI transformation strategy
Participants will complete:
▸ AI-First Snack Company Simulation
▸ AI Factory design
▸ Transformation roadmap
▸ Ethical AI considerations

Bootcamp Types

Weekday Intensive
  • Session Days:
    3 Full Days (any 3 week days)
  • Session Length:
    8 hours per day
  • Course Duration:
    3 Days
  • Total Contact Hours:
    24 hours
Weekend Intensive
  • Session Days:
    3 Full Days (Friday, Saturday, Sunday)
  • Session Length:
    8 hours per day
  • Course Duration:
    3 Days
  • Total Contact Hours:
    24 hours
Weekend Regular
  • Session Days:
    Every Saturday, Sunday
  • Session Length:
    3 hours per day
  • Course Duration:
    4 weeks
  • Total Contact Hours:
    24 hours

Upcoming Bootcamps

  • Bootcamp ID: A
  • Bootcamp Type: Weekend Regular
  • Class Days: Saturday, Sunday
  • Timing: 9:00am - 12:00pm UTC
  • Start Date: Mar 21, 2026
  • End Date: Apr 26, 2026
  • Registration Early Bird: Mar 6, 2026
  • Registration Deadline: Mar 15, 2026
  • Location: Online Live Class
  • Training Fee (Early Bird): USD 99
  • Training Fee (Regular): USD 99
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